TY  - JOUR
AU  - Fu, Xialian
AU  - Hong, Haoshan
AU  - Chen, Juan
PY  - 2024
DA  - 2024/01/12
TI  - The Optimization of Cold Chain Logistics Delivery Routes for Company B Based on Service Priority
JO  - Journal of Social Systems and Policy Analysis
T2  - Journal of Social Systems and Policy Analysis
JF  - Journal of Social Systems and Policy Analysis
VL  - 1
IS  - 1
SP  - 26
EP  - 31
DO  - 10.62762/JSSPA.2024.805209
UR  - https://www.icck.org/article/abs/JSSPA.2024.805209
KW  - Service priority
KW  - Cold chain logistics
KW  - Distribution path
AB  - In recent years, China's cold chain logistics market has developed rapidly under the strong drive of the growth of food and pharmaceutical cold chains demand, as well as the strong support of government policies. Cold chain distributiIon plays a crucial role in optimal cold chain logistics. The study focuses on company B as the research subject and aims to reduce distribution costs. Considering factors of customer timeliness requirements and vehicle types, combined with the issue of service priority, a S-TS algorithm is adopted to establish a cold chain distribution path optimal model that is in line with the actual situation of company B. Then, the optimal solution of total distribution costs is obtained through Matlab software simulation, and the optimal plan of company B's is generated, which provides a new idea and method to reduce costs and increase efficiency.
SN  - 3068-5540
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 

@article{Fu2024The,
  author = {Xialian Fu and Haoshan Hong and Juan Chen},
  title = {The Optimization of Cold Chain Logistics Delivery Routes for Company B Based on Service Priority},
  journal = {Journal of Social Systems and Policy Analysis},
  year = {2024},
  volume = {1},
  number = {1},
  pages = {26-31},
  doi = {10.62762/JSSPA.2024.805209},
  url = {https://www.icck.org/article/abs/JSSPA.2024.805209},
  abstract = {In recent years, China's cold chain logistics market has developed rapidly under the strong drive of the growth of food and pharmaceutical cold chains demand, as well as the strong support of government policies. Cold chain distributiIon plays a crucial role in optimal cold chain logistics. The study focuses on company B as the research subject and aims to reduce distribution costs. Considering factors of customer timeliness requirements and vehicle types, combined with the issue of service priority, a S-TS algorithm is adopted to establish a cold chain distribution path optimal model that is in line with the actual situation of company B. Then, the optimal solution of total distribution costs is obtained through Matlab software simulation, and the optimal plan of company B's is generated, which provides a new idea and method to reduce costs and increase efficiency.},
  keywords = {Service priority, Cold chain logistics, Distribution path},
  issn = {3068-5540},
  publisher = {Institute of Central Computation and Knowledge}
}